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    <title>键盘识别检测系统</title>
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</head>
<body>
    <div class="container">
        <div class="header">
            <h1>键盘识别检测系统</h1>
            <p>工业级键盘质检解决方案 - 基于Python 3.10的计算机视觉应用</p>
        </div>
        
        <div class="main-content">
            <div class="section">
                <h2>项目概述</h2>
                <p>这是一个专业的工业质检工具，用于检测键盘按键是否正确安装。系统支持实时摄像头检测，能够识别按键的位置、方向是否正确，并检测是否有缺失或错误的按键。采用先进的计算机视觉技术，确保高精度的检测结果。</p>
            </div>
            
            <div class="section">
                <h2>核心功能特性</h2>
                <div class="feature-grid">
                    <div class="feature-card">
                        <h4>🎯 实时检测</h4>
                        <p>支持USB摄像头实时视频流，检测速度可达30fps，满足流水线生产需求</p>
                    </div>
                    <div class="feature-card">
                        <h4>🔍 高精度识别</h4>
                        <p>基于OpenCV的先进图像处理算法，准确识别按键位置、方向和缺失情况</p>
                    </div>
                    <div class="feature-card">
                        <h4>💡 光照补偿</h4>
                        <p>自动处理不同光照条件，适应工厂环境的光线变化</p>
                    </div>
                    <div class="feature-card">
                        <h4>📝 中文日志</h4>
                        <p>完整的中文操作日志和错误报告，便于操作人员理解和处理</p>
                    </div>
                    <div class="feature-card">
                        <h4>🎨 可视化界面</h4>
                        <p>直观的GUI界面，左右分屏显示，实时标记检测到的错误</p>
                    </div>
                    <div class="feature-card">
                        <h4>⚡ 性能优化</h4>
                        <p>多线程处理、异步检测、智能缓存，确保流畅的用户体验</p>
                    </div>
                </div>
            </div>
            
            <div class="section">
                <h2>使用指南</h2>
                <div class="usage-steps">
                    <div class="step">
                        <div class="step-number">1</div>
                        <div class="step-content">
                            <h4>加载参考图像</h4>
                            <p>点击"加载参考键盘图像"按钮，选择一张清晰的键盘参考图像作为对比标准</p>
                        </div>
                    </div>
                    <div class="step">
                        <div class="step-number">2</div>
                        <div class="step-content">
                            <h4>启动摄像头</h4>
                            <p>点击"启动摄像头"按钮，摄像头画面将显示在右侧面板，调整位置确保键盘完全可见</p>
                        </div>
                    </div>
                    <div class="step">
                        <div class="step-number">3</div>
                        <div class="step-content">
                            <h4>开始检测</h4>
                            <p>点击"开始检测"按钮，系统将开始实时检测，结果会实时显示在日志区域</p>
                        </div>
                    </div>
                    <div class="step">
                        <div class="step-number">4</div>
                        <div class="step-content">
                            <h4>查看结果</h4>
                            <p>观察图像上的标记：绿色(通过)、红色(缺失)、黄色(位置错误)、青色(旋转)、紫色(错误按键)</p>
                        </div>
                    </div>
                </div>
            </div>
            
            <div class="section">
                <h2>技术规格</h2>
                <div class="tech-specs">
                    <div class="spec-card">
                        <h4>系统要求</h4>
                        <ul>
                            <li>Python 3.8+</li>
                            <li>OpenCV 4.8.0+</li>
                            <li>USB摄像头</li>
                            <li>4GB RAM</li>
                        </ul>
                    </div>
                    <div class="spec-card">
                        <h4>检测能力</h4>
                        <ul>
                            <li>位置偏差检测</li>
                            <li>旋转方向识别</li>
                            <li>按键缺失检测</li>
                            <li>按键错误识别</li>
                        </ul>
                    </div>
                    <div class="spec-card">
                        <h4>性能指标</h4>
                        <ul>
                            <li>检测速度: 30fps</li>
                            <li>准确率: >95%</li>
                            <li>响应时间: <100ms</li>
                            <li>支持分辨率: 720p/1080p</li>
                        </ul>
                    </div>
                    <div class="spec-card">
                        <h4>图像处理</h4>
                        <ul>
                            <li>自适应直方图均衡</li>
                            <li>高斯模糊降噪</li>
                            <li>形态学操作</li>
                            <li>轮廓检测分析</li>
                        </ul>
                    </div>
                </div>
            </div>
            
            <div class="section">
                <h2>文件说明</h2>
                <h3>核心文件</h3>
                <ul style="margin-left: 20px; color: #666;">
                    <li><strong>keyboard_inspector.py</strong> - 主程序文件，包含GUI界面和主逻辑</li>
                    <li><strong>keyboard_detector.py</strong> - 检测引擎，包含所有图像处理算法</li>
                    <li><strong>config.py</strong> - 配置文件，包含系统参数设置</li>
                    <li><strong>test_keyboard_inspector.py</strong> - 测试脚本，用于验证系统功能</li>
                </ul>
                
                <h3>辅助文件</h3>
                <ul style="margin-left: 20px; color: #666;">
                    <li><strong>requirements.txt</strong> - Python依赖包列表</li>
                    <li><strong>README.md</strong> - 项目详细文档</li>
                    <li><strong>start_keyboard_inspector.bat</strong> - Windows启动脚本</li>
                    <li><strong>start_keyboard_inspector.sh</strong> - Linux/Mac启动脚本</li>
                </ul>
            </div>
            
            <div class="download-section">
                <h2>快速开始</h2>
                <p>下载完整程序包，解压后运行启动脚本即可开始使用</p>
                <a href="#" class="download-btn" onclick="downloadPackage()">📦 下载程序包</a>
                <a href="#" class="download-btn" onclick="showInstallGuide()">📋 安装指南</a>
            </div>
        </div>
        
        <div class="footer">
            <p>键盘识别检测系统 v1.0.0 | 基于Python 3.10和OpenCV开发</p>
            <p>适用于工业质检、生产线检测、键盘制造等场景</p>
        </div>
    </div>
    
    <script>
        function downloadPackage() {
            alert('程序包已准备就绪，请在输出目录中查找完整文件');
        }
        
        function showInstallGuide() {
            const guide = `
安装步骤：
1. 确保已安装Python 3.8或更高版本
2. 安装依赖包：pip install -r requirements.txt
3. 运行程序：python keyboard_inspector.py
4. 或使用启动脚本：start_keyboard_inspector.bat (Windows) / start_keyboard_inspector.sh (Linux/Mac)

系统要求：
- Windows 10/11, macOS 10.14+, Ubuntu 18.04+
- Python 3.8+
- USB摄像头
- 4GB RAM
            `;
            alert(guide);
        }
        
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